How to rank data and set corresponsing values
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I have data, 10 columns and over 200 rows. First two rows are:
0,004130861 0,001492476 -0,001031031 0,0033182 0,000327482 0,000510943 0,00083309 0,001345621 -0,002916075 6,51063E-05
0,003489052 0,001341031 -0,000738983 0,00290706 0,0001296 0,001039578 0,00099295 0,001224308 -0,002254135 -8,60491E-05
I need to rank the data from 1 - 10, so it becomes
1 3 9 2 7 6 5 4 10 8
1 3 9 2 7 5 6 4 10 8
and then set lowest value here to 1 and highest value to -1, seeting all other to 0, so it becomes
-1 0 0 0 0 0 0 0 1 0
-1 0 0 0 0 0 0 0 1 0
And so on for all other rows
How do i code this?
1 commentaire
Benjamin Thompson
le 14 Mar 2022
What does "rank" mean in your problem? I do not see the input to output relationship in the problem statement. Are you sorting them from high to low, or low to high, along each row? Then the final output has one +1, one -1, and the rest are zeros, where +1 means the max and -1 means the min.
Réponses (1)
Scott MacKenzie
le 14 Mar 2022
Modifié(e) : Scott MacKenzie
le 14 Mar 2022
Assuming the rankings are just used to explain your final goal, the following seems to work:
M1 = [0.004130861 0.001492476 -0.001031031 0.0033182 0.000327482 0.000510943 0.00083309 0.001345621 -0.002916075 6.51063E-05; 0.003489052 0.001341031 -0.000738983 0.00290706 0.0001296 0.001039578 0.00099295 0.001224308 -0.002254135 -8.60491E-05];
M2 = zeros(size(M1));
[~, idxMin] = min(M1, [], 2);
[~, idxMax] = max(M1, [], 2);
M2(:,idxMin) = 1;
M2(:,idxMax) = -1;
M1 % initial matrix
M2 % result
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